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cs.LG2026
A Tale of Two Problems: Multi-Task Bilevel Learning Meets Equality Constrained Multi-Objective Optimization
Zhiyao Zhang, Myeung Suk Oh, Zhen Qin +3
In recent years, bilevel optimization (BLO) has attracted significant attention for its broad applications in machine learning. However, most existing works on BLO remain confined…
cs.CV2026
Temporal Sampling Frequency Matters: A Capacity-Aware Study of End-to-End Driving Trajectory Prediction
Yumao Liu, Tao Liu, Xiangyu Li +2
End to end (E2E) autonomous driving trajectory prediction is often trained with camera frames sampled at the highest available temporal frequency, assuming that denser sampling imp…
cs.RO2026
DTP-Attack: A decision-based black-box adversarial attack on trajectory prediction
Jiaxiang Li, Jun Yan, Daniel Watzenig +1
Trajectory prediction systems are critical for autonomous vehicle safety, yet remain vulnerable to adversarial attacks that can cause catastrophic traffic behavior misinterpretatio…